Evidence map›Paper›PMID 34433165›Full record

ArticleCardiorenal medicine2021

The Contribution of Known Familial Cardiovascular Disease Genes to Sudden Cardiac Death in Patients Undergoing Hemodialysis.

Tae-Hwi Schwantes-An, Matteo Vatta, Marco Abreu, Leah Wetherill, Howard J Edenberg, Tatiana M Foroud, Glenn M Chertow, Sharon M Moe

Open access · diamondAbstract read
In one paragraph

Article in Cardiorenal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Tae-Hwi Schwantes-AnDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Matteo VattaDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Marco AbreuDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Leah WetherillDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Howard J EdenbergDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Tatiana M ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Glenn M ChertowDivision of Nephrology, Department of Medicine, Stanford University, Stanford, California, USA.
Sharon M MoeDivision of Nephrology and Hypertension, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Indiana University School of MedicineRichard L. Roudebush VA Medical Center · USStanford University · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Genetic risks for cardiovascular events in ESRD patients from the EVOLVE study.R01DK100306 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M · 2014 to 2016
$1.0M
NCATS NIH HHS UL1 TR002529NIDDK NIH HHS R01 DK100306
6 · The paper itself

Abstract

introductionPatients with chronic kidney disease experience high rates of cardiovascular mortality and morbidity. When kidney disease progresses to the need for dialysis, sudden cardiac death (SCD) accounts for 25-35% of all cardiovascular deaths. The objective was to determine if rare genetic variants known to be associated with cardiovascular death in the general population are associated with SCD in patients undergoing hemodialysis.

methodsWe performed a case-control study comparing 126 (37 African American [AfAn] and 89 European ancestry [EA]) SCD subjects and 107 controls (34 AfAn and 73 EA), matched for age, sex, self-reported race, dialysis duration (<2, 2-5 and >5 years), and the presence or absence of diabetes mellitus. To target the coding regions of genes previously reported to be associated with 15 inherited cardiac conditions (ICCs), we used the TruSight Cardio Kit (Illumina, San Diego, CA, USA) to capture the genetic regions of interest. In all, the kit targets 572-kb regions that include the protein-coding regions and 40-bp 5' and 3' end-flanking regions of 174 genes associated with the 15 ICCs. Using the sequence data, burden tests were conducted to identify genes with an increased number of variants among SCD cases compared to matched controls.

resultsEleven genes were associated with SCD, but after correction for multiple testing, none of the 174 genes were identified as having more variants in the SCD cases than the matched controls, including previously identified genes. Secondary burden tests grouping variants based on diseases and gene function did not produce statistically significant associations. DISCUSSION/

conclusionsWe found no associations between genes known to be associated with ICCs and SCD in our sample of patients undergoing hemodialysis. This suggests that genetic causes are unlikely to be a major pathogenic factor in SCD in hemodialysis patients, although our sample size limits definitive conclusions.

Indexed as

Cardiovascular DiseasesKidney Failure, ChronicCase-Control StudiesChild, PreschoolDeath, Sudden, CardiacHumansRenal DialysisArrhythmiaCardiovascular diseaseDialysisKidneySudden cardiac death

Identifiers

PMID34433165
PMCPMC8393692
OpenAlexW3188559926

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